Jove
Visualize
Contact Us
JoVE
x logofacebook logolinkedin logoyoutube logo
ABOUT JoVE
OverviewLeadershipBlogJoVE Help Center
AUTHORS
Publishing ProcessEditorial BoardScope & PoliciesPeer ReviewFAQSubmit
LIBRARIANS
TestimonialsSubscriptionsAccessResourcesLibrary Advisory BoardFAQ
RESEARCH
JoVE JournalMethods CollectionsJoVE Encyclopedia of ExperimentsArchive
EDUCATION
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab ManualFaculty Resource CenterFaculty Site
Terms & Conditions of Use
Privacy Policy
Policies

Related Concept Videos

Decision Making: P-value Method01:09

Decision Making: P-value Method

6.0K
The process of hypothesis testing based on the P-value method includes calculating the P- value using the sample data and interpreting it.
First, a specific claim about the population parameter is proposed. The claim is based on the research question and is stated in a simple form. Further, an opposing statement to the claim  is also stated. These statements can act as null and alternative hypotheses:  a null hypothesis would be a neutral statement while the alternative hypothesis can...
6.0K
Methods of Documentation VI: Case Management Model01:15

Methods of Documentation VI: Case Management Model

669
The case management model is a multidisciplinary approach that involves healthcare professionals from diverse disciplines, such as physicians, nurses, therapists, social workers, and pharmacists, working collaboratively to address the various needs of patients. Each healthcare professional brings unique expertise and perspectives, contributing to a more comprehensive understanding of the patient's condition and tailoring treatment plans accordingly.
For example, a patient with a chronic...
669
Ethical Dilemmas II01:30

Ethical Dilemmas II

1.7K
Resolving an ethical dilemma in healthcare involves a systematic approach that considers every aspect of the issue, respecting both the patient's needs and values and the healthcare professional's ethical obligations. Here are potential steps to resolve an ethical dilemma:
1.7K
Decision Making01:20

Decision Making

382
Decision-making is a fundamental cognitive process that involves evaluating alternatives and selecting among them. This process can range from simple choices, such as deciding what to wear, to complex decisions, like choosing a major in college or a career path. The complexity of the decision often dictates the approach we use, which can be broadly categorized into two types: automatic and controlled decision-making.
Automatic decision-making is fast, intuitive, and relies on gut feelings...
382
Decision Making: Traditional Method01:14

Decision Making: Traditional Method

4.5K
The process of hypothesis testing based on the traditional method includes calculating the critical value, testing the value of the test statistic using the sample data, and interpreting these values.
First, a specific claim about the population parameter is decided based on the research question and is stated in a simple form. Further, an opposing statement to this claim is also stated. These statements can act as null and alternative hypotheses, out of which a null hypothesis would be a...
4.5K
Cancer Survival Analysis01:21

Cancer Survival Analysis

484
Cancer survival analysis focuses on quantifying and interpreting the time from a key starting point, such as diagnosis or the initiation of treatment, to a specific endpoint, such as remission or death. This analysis provides critical insights into treatment effectiveness and factors that influence patient outcomes, helping to shape clinical decisions and guide prognostic evaluations. A cornerstone of oncology research, survival analysis tackles the challenges of skewed, non-normally...
484

You might also read

Related Articles

Articles linked to this work by shared authors, journal, and citation graph.

Sort by
Same author

Acute effects of low-dose bisoprolol on lung function and blood pressure in COPD patients.

ERJ open research·2026
Same author

Bisoprolol to prevent adverse cardiac events (PACE) in COPD: a multicentre, double-blind, randomised, controlled, phase 3 trial.

The Lancet. Respiratory medicine·2026
Same author

The role of evidence-based medicine in the media: misinformation and the COVID-19 lesson.

European respiratory review : an official journal of the European Respiratory Society·2025
Same author

Prevalence and short-term outcomes of acute complications of tuberculosis: a cross-sectional, monocentre, Italian study.

BMC infectious diseases·2025
Same author

Practice Variations in the Diagnosis and Treatment of Pulmonary Embolism.

Pulmonary medicine·2024
Same author

Thoracic Society of Australia and New Zealand position statement: The safe clinical use of sputum induction for bio-sampling of the lower airways in children and adults.

Respirology (Carlton, Vic.)·2024

Related Experiment Video

Updated: Oct 29, 2025

Hydra, a Computer-Based Platform for Aiding Clinicians in Cardiovascular Analysis and Diagnosis
07:51

Hydra, a Computer-Based Platform for Aiding Clinicians in Cardiovascular Analysis and Diagnosis

Published on: September 26, 2018

7.8K

Users' Guide to Medical Decision Analysis.

Claudia C Dobler1, Gordon H Guyatt2, Zhen Wang3

  • 1Institute for Evidence-Based Healthcare, Faculty of Health Sciences & Medicine, Bond University, Gold Coast, Queensland, Australia; Evidence-Based Practice Center, Robert D. and Patricia E. Kern Center for the Science of Health Care Delivery, Mayo Clinic, Rochester, MN.

Mayo Clinic Proceedings
|July 6, 2021
PubMed
Summary
This summary is machine-generated.

Decision analysis offers an evidence-based method for clinicians to weigh testing versus treatment benefits and harms. This review helps clinicians critically evaluate decision analyses for better medical decision-making.

More Related Videos

Inverse Probability of Treatment Weighting Propensity Score using the Military Health System Data Repository and National Death Index
06:55

Inverse Probability of Treatment Weighting Propensity Score using the Military Health System Data Repository and National Death Index

Published on: January 8, 2020

14.8K
Author Spotlight: Developing a Point-of-Care Hemoglobin Estimation Method for Anemia Management
05:35

Author Spotlight: Developing a Point-of-Care Hemoglobin Estimation Method for Anemia Management

Published on: January 19, 2024

1.0K

Related Experiment Videos

Last Updated: Oct 29, 2025

Hydra, a Computer-Based Platform for Aiding Clinicians in Cardiovascular Analysis and Diagnosis
07:51

Hydra, a Computer-Based Platform for Aiding Clinicians in Cardiovascular Analysis and Diagnosis

Published on: September 26, 2018

7.8K
Inverse Probability of Treatment Weighting Propensity Score using the Military Health System Data Repository and National Death Index
06:55

Inverse Probability of Treatment Weighting Propensity Score using the Military Health System Data Repository and National Death Index

Published on: January 8, 2020

14.8K
Author Spotlight: Developing a Point-of-Care Hemoglobin Estimation Method for Anemia Management
05:35

Author Spotlight: Developing a Point-of-Care Hemoglobin Estimation Method for Anemia Management

Published on: January 19, 2024

1.0K

Area of Science:

  • Medical Decision Making
  • Health Economics
  • Biostatistics

Background:

  • Clinicians frequently balance testing and treatment benefits against harms using implicit judgments.
  • Decision analysis provides a structured, reproducible, and evidence-based framework for these complex choices.

Purpose of the Study:

  • To equip clinicians with the knowledge to critically appraise decision analysis studies.
  • To guide the application of decision analysis findings in clinical practice and guideline development.

Main Methods:

  • The review explains the structure of decision trees.
  • It outlines key criteria for assessing the credibility and robustness of decision analyses.

Main Results:

  • Clinicians can evaluate decision analyses by judging method credibility and confidence in results.
  • Key appraisal points include relevance, evidence base, sensitivity analyses, and applicability to individual patients.

Conclusions:

  • Valid and robust decision analyses enhance evidence-based medical decision-making.
  • These analyses support both guideline formulation and shared decision-making between patients and clinicians.